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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,051 papers · 148 categories

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6 results for “Aff-Wild”

Aff-Wild2: Extending the Aff-Wild Database for Affect Recognitioncs.CV

Extends Aff-Wild database for affect recognition in real-world settings.

problem Complex human emotional states in real-world settings.

method Developed deep neural architectures with attention mechanism for emotion recognition.

result Improved performance in emotion recognition using Aff-Wild2.

Affect Recognition Deep Neural Networks Aff-Wild2 YouTube Recurrent Neural Networks

2018-11-11abs ↗pdf ↗

A Multi-Task Learning & Generation Framework: Valence-Arousal, Action Units & Primary Expressionscs.CV

Paper tackles multi-task learning for emotion recognition and generation using Aff-Wild dataset.

problem Developing a multi-task learning approach for emotion recognition and generation using Aff-Wild dataset.

method Deep neural network with shared hidden layers and GAN for multi-task learning and image generation.

result Good performance of the proposed approach on Aff-Wild dataset.

multi-task learning emotion recognition facial image generation GAN Aff-Wild

2018-11-11abs ↗pdf ↗

Deep Affect Prediction in-the-wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyondcs.CV

Automatic understanding of human affect using visual signals is of great importance in everyday human-machine interactions. Appraising human emotional states, behaviors and reactions displayed in real-world settings, can be accomplished using latent continuous dimensions (e.g., the circumplex model of affect). Valence …

2018-04-29abs ↗pdf ↗

Aff-Wild Database and AffWildNetcs.LG

Aff-Wild database expands facial expression recognition to real-world conditions.

problem Lack of spontaneous facial expression databases in real-world conditions.

method Collects spontaneous facial expressions from YouTube, annotates with valence and arousal, uses deep learning techniques.

result Developed an end-to-end DNN model achieving 0.555 CCC for valence and 0.499 CCC for arousal.

Facial Expression Recognition Deep Learning Real-World Conditions Valence and Arousal YouTube Data

2019-10-11abs ↗pdf ↗

AffWild Net and Aff-Wild Databasecs.LG

Project creates new dataset for 'in the wild' emotions recognition.

problem Recognition of emotions in real-life unpredictable situations.

method Design and implement a new dataset and deep learning model.

result Demonstrates effectiveness of the new deep learning model for real-life emotions recognition.

emotions recognition deep learning in the wild valence arousal

2019-10-11abs ↗pdf ↗

Exploiting multi-CNN features in CNN-RNN based Dimensional Emotion Recognition on the OMG in-the-wild Datasetcs.LG

Paper presents a CNN-RNN method for multi-dimensional emotion recognition in-the-wild.

problem Dimensional emotion recognition in real-world scenarios.

method Pre-training with Aff-Wild and Aff-Wild2, extracting low-, mid-, and high-level features, using RNN subnets in a multi-task framework, and fusion of networks.

result Our approach outperformed state-of-the-art methods using only visual information.

emotion recognition CNN-RNN multi-modal in-the-wild OMG-Emotion

2019-10-03abs ↗pdf ↗